Jeff Whitaker wrote:
Paul's initial comment was that since it was not self-contained (it required linking external blas and lapack libs) he could not consider putting it in. I have rectified that now by including new versions of f2c_lite.c, blas_lite.c and d(z)lapack_lite.c that support the newer, faster lapack routines.
I don't know what it would take, but I would LOVE it if NumPy used a highly optimised BLAS wherever possible. I have no idea whether there is a good BLAS available for every major platform that has a licence that allows it to be included with NumPy, but if so, I think it should be included. I know this is more effor than just including a generic one, but having optimum performace "out of the box" would be a great thing.
just my $.02, which is worth about that, as I am in littel position to help...